signal-detector

Captures ambient signals for deterministic OpenClaw reference test fixtures.

174|144|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/inbrainfun/inbrain --skill signal-detector-inbrainfun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: signal-detector
Source: https://github.com/inbrainfun/inbrain/tree/main/test/fixtures/openclaw-reference-minimal/skills/signal-detector
Command: npx skills add https://github.com/inbrainfun/inbrain --skill signal-detector-inbrainfun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides continuous ambient signal capture to feed stable inputs for OpenClaw reference tests, reducing flaky test outcomes and ensuring reproducible evaluation conditions.

Core Features & Use Cases

  • Ambient signal capture for OpenClaw reference fixtures to drive deterministic test inputs.
  • Supports integration with end-to-end test pipelines by delivering repeatable signals across inbound messages.
  • Lightweight, non-intrusive data collection suitable for fixture environments.

Quick Start

Run the signal-detector during tests to start ambient signal capture for the OpenClaw reference fixture.

Frequently Asked Questions about signal-detector

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture ambient signals for deterministic OpenClaw tests?

Ambient signal capture continuously feeds stable inputs for OpenClaw reference tests. The signal-detector runs non-intrusively during end-to-end testing workflows to deliver repeatable fixture data across inbound messages.

Why do my end-to-end tests have flaky outcomes when using fixture data?

Flaky test outcomes occur when fixture inputs lack stable, repeatable signal data. Ambient signal capture resolves this by continuously providing deterministic inputs for OpenClaw reference tests, ensuring reproducible evaluation conditions.

How do I reduce performance impact during ambient signal capture for testing?

Ambient signal capture operates with minimal performance impact by using lightweight, non-intrusive data collection. This approach is specifically designed to suit fixture environments without disrupting active end-to-end test pipelines.

When do I need ambient signal capture for end-to-end testing workflows?

You need ambient signal capture when end-to-end testing workflows require deterministic inputs across inbound messages. It ensures OpenClaw reference fixtures receive stable, repeatable signal data to maintain reproducible evaluation conditions.

Does the signal-detector require specific dependencies to run OpenClaw fixtures?

The signal-detector operates without specific dependencies, requiring only compatibility with the OpenClaw fixture framework. It runs directly during tests to start ambient signal capture for reference fixtures seamlessly.

What is the best way to ensure repeatable signals across inbound messages in tests?

The best way to ensure repeatable signals is using ambient signal capture integrated with the OpenClaw fixture framework. It delivers stable, deterministic inputs across inbound messages to reduce flaky test outcomes.